Author
Bentaleb, A., Akçay, Mehmet Necmettin, Lim, M., Beğen, Ali Cengiz, Zimmermann, R.
Publication Date
2022
Publication Place
-
IEEE
Subject
ABR, Adaptive playback speed, Chunked transfer encoding, CMAF, DASH, HAS, Low latency, SOM
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
1520-9210
Record ID
a0bfd5d9-ca30-4c73-8bb1-2a8b4235bee7
Library Location
Computer Science
Date
2022
Sample Text
Our earlier Low-on-Latency (dubbed as LoL) solution offered an accurate bandwidth prediction and rate adaptation algorithm tailored for live streaming applications that targeted an end-to-end latency of up to two seconds. While LoL was a significant step forward in multi-bitrate low-latency live streaming, further experimentation and testing showed that there was room for improvement in three areas. First, LoL used hard-coded parameters computed from an offline training process in the rate adaptation algorithm and this was seen as a significant barrier in LoL's wide deployment. Second, LoL's objective was to maximize a collective QoE function. Yet, certain use cases have specific objectives besides the singular QoE and this had to be accommodated. Third, the adaptive playback speed control failed to produce satisfying results in some scenarios. Our goal in this paper is to address these areas and make LoL sufficiently robust to deploy. We refer to the enhanced solution as LoL+ which has been integrated to the official dash.js player in v3.2.0.
DOI
10.1109/TMM.2021.3079288
Cilt
24
